Research Data Alliance Plenary

Post on 17-May-2015

1.839 views 0 download

Tags:

description

Keynote slides on living in a machine-readable, open by default data world.

Transcript of Research Data Alliance Plenary

why open and machine readable?

1.cheap data changes the

epistemology.

OPS = AB(H + BB + HBP) + TB(AB + BB + SF + HBP) / AB(AB + BB + SF + HBP)

opening data attempts to reflect the epistemology.

1. big data as we experience it.

8

“open” data for “good”

2. if we have to share it, at some

point we’ll have to prioritize sets.

commitment.

citation.

price.

“capacity to produce unanticipated change through unfiltered contributions

from broad and varied audiences”

a design inspiration

3. if we have to prioritize it, we have

to have metrics for decisions.

what things regulate?

accessibility

adaptability

leverage

easeof mastery

accessibility

adaptability

leverage

easeof mastery

accessibility

adaptability

leverage

easeof mastery

accessibility

adaptability

leverage

easeof mastery

accessibility

adaptability

leverage

easeof mastery

accessibility

adaptability

leverage

easeof mastery

EASY TO USENO OPEN LICENSE

30

accessibility

adaptability

leverage

easeof mastery

NO OPEN LICENSEDOWNLOAD AVAILABLE

33

accessibility

adaptability

leverage

easeof mastery

WHAT’S THE MODEL?

4. systematically increasing the

generativity of data sets.

accessibility

adaptability

leverage

easeof  mastery

0

25

25

25

25

THREE  OPTIONS  TO  DOWNLOADNO  CLEAR  LICENSEPRIVACY  RESTRICTIONSMETADATA

which patients have tumor and normal samples amidst a group of celfiles?

accessibility

adaptability

leverage

easeof  mastery

IMPACT  OF  PRIVATE  INTERVENTION

5. what’s it mean when everything

is data?

it’s not about net present value.

it’s about net potential value.